This repository contains the dedicated Q4_K_M GGUF format quantized weights for the abliterated version of Qwen/Qwen3.6-27B.

These files are highly optimized for use with llama.cpp and compatible local inference engines like LM Studio, text-generation-webui, and KoboldCPP.

Looking for a different size? This repository strictly hosts the Q4_K_M model for fast, targeted downloading. If you need smaller or larger quantizations (such as Q3_K_M, Q5_K_M, Q6_K, or Q8_0), please visit the main repository here: 👉 Abiray/Huihui-Qwen3.6-27B-abliterated-GGUF

This model has been processed to remove inherent safety filters and refusal mechanisms. It is highly compliant and will generate responses to complex, edge-case, or typically restricted prompts directly from its base weights. No specialized system prompts or catalyst pre-fills are required to bypass refusals.

You can run this model via the command line using standard llama-cli commands. Since the model is abliterated, you do not need to wrap prompts in heavy system instructions.